James Briggs
commited on
Commit
•
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Parent(s):
5093ce4
Initial commit
Browse files- README.md +58 -0
- all_results.json +17 -0
- config.json +74 -0
- eval_results.json +12 -0
- ipu_config.json +36 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +1705 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- cnn_dailymail
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model-index:
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- name: outputs
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# outputs
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the cnn_dailymail 3.0.0 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: IPU
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- gradient_accumulation_steps: 256
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- total_train_batch_size: 2048
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- num_epochs: 2.0
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- training precision: Mixed Precision
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### Training results
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cpu
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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all_results.json
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{
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"epoch": 2.0,
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"eval_gen_len": 60.375,
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"eval_rouge1": 35.5569,
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"eval_rouge2": 16.4363,
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"eval_rougeL": 25.8787,
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"eval_rougeLsum": 32.8603,
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"eval_runtime": 1465.5427,
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"eval_samples": 200,
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"eval_samples_per_second": 0.136,
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"eval_steps_per_second": 0.034,
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"train_loss": 1.75728759765625,
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"train_runtime": 1388.2147,
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"train_samples": 287113,
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"train_samples_per_second": 413.644,
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"train_steps_per_second": 0.202
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}
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config.json
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{
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"_name_or_path": "facebook/bart-large",
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": false,
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"architectures": [
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"PoptorchPipelinedBartForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classif_dropout": 0.1,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"early_stopping": true,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"no_repeat_ngram_size": 3,
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"normalize_before": false,
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"num_beams": 4,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": false,
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"task_specific_params": {
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"summarization": {
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"length_penalty": 1.0,
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"max_length": 128,
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"min_length": 12,
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"num_beams": 4
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},
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"summarization_cnn": {
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"num_beams": 4
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},
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"summarization_xsum": {
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"length_penalty": 1.0,
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"max_length": 62,
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"min_length": 11,
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"num_beams": 6
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}
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},
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"torch_dtype": "float16",
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"transformers_version": "4.18.0",
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"use_cache": true,
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"vocab_size": 50265
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_gen_len": 60.375,
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"eval_rouge1": 35.5569,
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"eval_rouge2": 16.4363,
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"eval_rougeL": 25.8787,
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"eval_rougeLsum": 32.8603,
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"eval_runtime": 1465.5427,
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"eval_samples": 200,
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"eval_samples_per_second": 0.136,
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"eval_steps_per_second": 0.034
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}
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ipu_config.json
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{
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"device_iterations": 1,
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"embedding_serialization_factor": 5,
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"enable_half_first_order_momentum": true,
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"enable_half_partials": true,
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"executable_cache_dir": "./exe_cache",
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"execute_encoder_on_cpu_for_generation": false,
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"gradient_accumulation_steps": 256,
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"inference_device_iterations": 1,
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"inference_replication_factor": 2,
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"ipus_per_replica": 8,
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"layers_per_ipu": [
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1,
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2,
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5
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],
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"matmul_proportion": [
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0.1
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],
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"optimizer_state_offchip": true,
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"optimum_version": "1.1.1",
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"output_mode": "final",
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"profile_dir": "",
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"recompute_checkpoint_every_layer": true,
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"replicated_tensor_sharding": true,
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"replication_factor": 8,
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"seed": 42,
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"sharded_execution_for_inference": true,
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"transformers_version": "4.18.0",
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"use_popdist": false
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cce86369b4ba09fe233e530a14bef679006424f7c5b5cdc8335363ea51e4125c
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size 812847169
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "add_prefix_space": false, "trim_offsets": true, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "facebook/bart-large", "tokenizer_class": "BartTokenizer"}
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 1.75728759765625,
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"train_runtime": 1388.2147,
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| 5 |
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"train_samples": 287113,
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"train_samples_per_second": 413.644,
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"train_steps_per_second": 0.202
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}
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trainer_state.json
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@@ -0,0 +1,3 @@
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vocab.json
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